基于智能化系统理论的IT智能移动巡检平台开发与研究
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摘要
伴随着德国率先提出工业4.0概念,我国的电力、自动化与信息科学在大数据和云环境的伴随下取得长足发展,进而使得与电子信息相关的产业如智能控制领域、数据挖掘与分析得到迅猛发展。其中网络设备的移动巡检概念也随着智能化系统理论被计算机科学领域研究人员重视。针对烟草产业的行业特性,建立IT智能移动巡检项目,对于当前的问题有着很好的解决。首先,因为烟草的网络部署并不是在同一个时间完成,时间上的间隔促使最初的网络数据,在一次次的网络部署中出现了很大程度上的变更。其次,通过使用移动巡检系统可以保证数据的一致性。提出多目标优化背景下的网络优化算法从底层缓解了巡检平台负载,提升系统效率。
With 4.0 concept put forward by Germany, the electric power, automation and information science of our country have achieved rapid development under the big data and cloud environment, bring rapid development for the related industries such as intelligent control, data mining and analysis. The mobile inspection of network equipment using intelligent systems theory concept is taken seriously by computer science researchers. Based on the industry characteristics of the tobacco industry, the establishment of the IT smart mobile inspection has a very good solution to the current problems. First, as the network deployment of tobacco is not completed in the same time, interval of time makes the initial network data a large extent change in the network deployment. Secondly, through the use of mobile inspection system can guarantee the consistency of the data. Multi- objective optimization under the background of network optimization algorithm is put forward from the underlying relieves the load inspection platform, improving the system efficiency.
With 4.0 concept put forward by Germany, the electric power, automation and information science of our country have achieved rapid development under the big data and cloud environment, bring rapid development for the related industries such as intelligent control, data mining and analysis. The mobile inspection of network equipment using intelligent systems theory concept is taken seriously by computer science researchers. Based on the industry characteristics of the tobacco industry, the establishment of the IT smart mobile inspection has a very good solution to the current problems. First, as the network deployment of tobacco is not completed in the same time, interval of time makes the initial network data a large extent change in the network deployment. Secondly, through the use of mobile inspection system can guarantee the consistency of the data. Multi- objective optimization under the background of network optimization algorithm is put forward from the underlying relieves the load inspection platform, improving the system efficiency.
引文
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[3]Wang H,Shkjezi F,Hoxha E.Distance metric learning fo multi-camera people matching[C].Advanced Computation al Intelligence(ICACI),2013 Sixth International Confer ence on.IEEE,2013:140-143.
[4]王增彬.智能化监控系统制式的发展[J].城市建设理论研究,2014,(9).DOI:10.3969/j.issn.2095-2104.2014.09.74.DOI:10.3969/j.issn.2095-2104.2014.09.74.
[5]李振汕.云计算安全威胁分析[J].通信技术,2012,45(9)103-108.
[6]黄鑫.现代建筑智能化弱电系统的设计[J].城市建设理论研究:电子版,2014,1:54-5.